ML pipeline scheduling hides complexity beneath simple cron syntax—lessons on freshness, monitoring gaps, and overrun policies from Twitter, LinkedIn, and Shopify.
Manual EU AI Act compliance is unmanageable. This credit scoring pipeline shows how ZenML transforms regulatory requirements into automated workflows—from bias detection and risk assessment to human oversight gates and Annex IV documentation.
Can automated classification effectively distinguish real-world, production-grade LLM implementations from theoretical discussions? Follow my journey building a reliable LLMOps classification pipeline—moving from manual reviews, through prompt-engineered approaches, to fine-tuning ModernBERT. Discover practical insights, unexpected findings, and why a smaller fine-tuned model proved superior for fast, accurate, and scalable classification.
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